21st.dev Magic MCP — AI-powered UI component generation via natural language. Access to 21st.dev component library, SVGL brand logos, and real-time preview. Generate React/Tailwind components with /ui command.
日本語の概要は準備中です。原文の説明を表示しています。
Implementing Cloud Security Posture Management (CSPM) to continuously monitor multi-cloud environments for misconfigurations, compliance violations, and security risks using Prowler, ScoutSuite, AWS Security Hub, Azure Defender, and GCP Security Command Center.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Kullanma: for runtime workload protection (use CWPP tools like Falco or Aqua), for application security testing (use DAST/SAST tools), or for network intrusion Tespit (use cloud-native IDS like GuardDuty or Network Watcher).
pip install prowler)pip install scoutsuite)Enable the built-in CSPM capabilities in each cloud provider for baseline posture assessment.
aws securityhub enable-security-hub --enable-default-standards
aws securityhub batch-enable-standards --standards-subscription-requests \
'[{"StandardsArn":"arn:aws:securityhub:::standards/cis-aws-foundations-benchmark/v/1.4.0"}]'
az security pricing create --name CloudPosture --tier standard
az security auto-provisioning-setting update --name default --auto-provision on
gcloud services enable securitycenter.googleapis.com
gcloud scc settings update --organization=ORG_ID \
--enable-asset-discovery
Execute Prowler to perform comprehensive security checks across all three cloud providers.
prowler aws \
--profile production \
-M json-ocsf csv html \
-o ./prowler-results/aws/ \
--compliance cis_1.4_aws cis_1.5_aws
prowler azure \
--subscription-ids SUB_ID_1 SUB_ID_2 \
-M json-ocsf csv html \
-o ./prowler-results/azure/ \
--compliance cis_2.0_azure
prowler gcp \
--project-ids project-1 project-2 \
-M json-ocsf csv html \
-o ./prowler-results/gcp/ \
--compliance cis_2.0_gcp
prowler aws --list-compliance
Use ScoutSuite for a unified multi-cloud security assessment with visual reporting.
python3 -m ScoutSuite aws --profile production \
--report-dir ./scoutsuite/aws/
python3 -m ScoutSuite azure --cli \
--all-subscriptions \
--report-dir ./scoutsuite/azure/
python3 -m ScoutSuite gcp --user-account \
--all-projects \
--report-dir ./scoutsuite/gcp/
Şunu oluştur: scheduled pipeline that runs CSPM checks daily and routes Bul:ings to appropriate channels.
cat > buildspec.yml << 'EOF'
phases:
install:
commands:
- pip install prowler
build:
commands:
- prowler aws -M json-ocsf -o s3://security-Bul:ings-bucket/prowler/$(date +%Y%m%d)/
- prowler aws --compliance cis_1.5_aws -M csv -o s3://security-Bul:ings-bucket/prowler/compliance/
post_build:
commands:
- |
CRITICAL=$(cat output/*.json | grep -c '"CRITICAL"')
if [ "$CRITICAL" -gt 0 ]; then
aws sns publish --topic-arn arn:aws:sns:us-east-1:ACCOUNT:security-alerts \
--subject "Prowler: $CRITICAL critical Bul:ings" \
--message "Review at s3://security-Bul:ings-bucket/prowler/$(date +%Y%m%d)/"
fi
EOF
aws events put-rule \
--name daily-prowler-scan \
--schedule-expression "cron(0 6 * * ? *)" \
--state ENABLED
Aggregate Bul:ings from multiple CSPM tools and cloud providers into a unified view.
import json
import hashlib
from datetime import datetime
def normalize_Bul:ing(Bul:ing, source):
"""Normalize Bul:ings from different CSPM tools to a common format."""
normalized = {
'id': hashlib.sha256(f"{Bul:ing.get('ResourceId','')}{Bul:ing.get('CheckId','')}".encode()).hexdigest()[:16],
'source': source,
'cloud': Bul:ing.get('Provider', 'unknown'),
'account': Bul:ing.get('AccountId', Bul:ing.get('SubscriptionId', '')),
'region': Bul:ing.get('Region', ''),
'resource_type': Bul:ing.get('ResourceType', ''),
'resource_id': Bul:ing.get('ResourceId', ''),
'severity': Bul:ing.get('Severity', 'INFO').upper(),
'status': Bul:ing.get('Status', 'FAIL'),
'title': Bul:ing.get('CheckTitle', Bul:ing.get('Title', '')),
'description': Bul:ing.get('StatusExtended', ''),
'compliance': Bul:ing.get('Compliance', {}),
'remediation': Bul:ing.get('Remediation', {}).get('Recommendation', {}).get('Text', ''),
'timestamp': datetime.utcnow().isoformat()
}
return normalized
def aggregate_Bul:ings(prowler_file, scoutsuite_file):
Bul:ings = {}
for file_path, source in [(prowler_file, 'prowler'), (scoutsuite_file, 'scoutsuite')]:
with open(file_path) as f:
for line in f:
raw = json.loads(line)
normalized = normalize_Bul:ing(raw, source)
if normalized['status'] == 'FAIL':
Bul:ings[normalized['id']] = normalized
return sorted(Bul:ings.values(), key=lambda x: {'CRITICAL':0,'HIGH':1,'MEDIUM':2,'LOW':3}.get(x['severity'],4))
Kur: automated responses to configuration drift that violates security baselines.
aws configservice put-remediation-configurations --remediation-configurations '[{
"ConfigRuleName": "s3-bucket-public-read-prohibited",
"TargetType": "SSM_DOCUMENT",
"TargetId": "AWS-DisableS3BucketPublicReadWrite",
"Parameters": {
"S3BucketName": {"ResourceValue": {"Value": "RESOURCE_ID"}}
},
"Automatic": true,
"MaximumAutomaticAttempts": 3,
"RetryAttemptSeconds": 60
}]'
az policy assignment create \
--name "enforce-storage-encryption" \
--policy "/providers/Microsoft.Authorization/policyDefinitions/404c3081-a854-4457-ae30-26a93ef643f9" \
--scope "/subscriptions/SUB_ID" \
--enforcement-mode Default
gcloud resource-manager org-policies set-policy policy.yaml --organization=ORG_ID
| Term | Definition |
|---|---|
| CSPM | Cloud Security Posture Management, the practice of continuously monitoring cloud infrastructure for misconfigurations and compliance violations |
| Configuration Drift | Unintended changes to cloud resource configurations that deviate from the approved security baseline over time |
| Security Baseline | A documented set of minimum security configuration requirements that all cloud resources must meet |
| Compliance Framework | A structured set of security controls and requirements (CIS, SOC 2, PCI DSS, NIST) against which cloud configurations are evaluated |
| Bul:ing Severity | Risk classification of a misconfiguration based on exploitability and potential impact (Critical, High, Medium, Low, Informational) |
| Auto-Remediation | Automated corrective action that restores a non-compliant resource to its required configuration without manual intervention |
Context: An enterprise runs production workloads across AWS (primary), Azure (identity and Microsoft services), and GCP (data analytics). The security team needs unified posture visibility.
Approach:
Pitfalls: Running CSPM tools with overly broad permissions creates a high-value target. Use dedicated service accounts with read-only permissions and rotate credentials regularly. Different CSPM tools may Şunu raporla: same misconfiguration differently, so deduplication logic must account for varying resource ID formats and Bul:ing titles across tools.
Cloud Security Posture Management Dashboard
==============================================
Organization: Acme Corp
Assessment Date: 2026-02-23
Environments: AWS (12 accounts), Azure (8 subscriptions), GCP (5 projects)
POSTURE SCORES:
AWS: 82/100 (+3 from last week)
Azure: 76/100 (-1 from last week)
GCP: 79/100 (+5 from last week)
Overall: 79/100
Bul:INGS BY SEVERITY:
Critical: 18 (AWS: 7, Azure: 8, GCP: 3)
High: 67 (AWS: 28, Azure: 24, GCP: 15)
Medium: 234 (AWS: 98, Azure: 87, GCP: 49)
Low: 412 (AWS: 178, Azure: 134, GCP: 100)
TOP FAILING CATEGORIES:
1. IAM overly permissive policies (43 Bul:ings)
2. Encryption not enabled at rest (38 Bul:ings)
3. Public network exposure (29 Bul:ings)
4. Logging and monitoring gaps (24 Bul:ings)
5. Unused credentials and keys (19 Bul:ings)
AUTO-REMEDIATION (Last 7 Days):
Bul:ings auto-remediated: 34
Manual remediation pending: 51
Exceptions approved: 8
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概要と使いどころ
21st.dev Magic MCP — AI-powered UI component generation via natural language. Access to 21st.dev component library, SVGL brand logos, and real-time preview. Generate React/Tailwind components with /ui command.
日本語の概要は準備中です。原文の説明を表示しています。
AES CBC/ECB modlarına karşı kriptografik bütünlük saldırıları — bit flipping, IV manipulation, ECB cut-and-paste, CBC-MAC length extension, IV reuse
日本語の概要は準備中です。原文の説明を表示しています。
AES-GCM ve ChaCha20-Poly1305 nonce yeniden kullanımı saldırısı — GF(2^128) polinom kök bulma ile Hash Key kurtarma ve MAC sahteciliği.
日本語の概要は準備中です。原文の説明を表示しています。
tespit etmeabnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetObject spikes), and potential data exfiltration using statistical baselines and time-series anomaly Tespit.
日本語の概要は準備中です。原文の説明を表示しています。
Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to tespit etmereentrancy, integer overflow, access control, and other vulnerability classes before Dağıt:ment to Ethereum mainnet.
日本語の概要は準備中です。原文の説明を表示しています。
Parses Kubernetes API server audit logs (JSON lines) to tespit etmeexec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access. Builds threat Tespit rules from audit event patterns. Use investigating yaparken Kubernetes cluster compromise or building k8s-specific SIEM Tespit rules.
日本語の概要は準備中です。原文の説明を表示しています。